Abstract
Maintenance of logical robustness in Information Integration represents a major challenge in the envisioned Semantic Web. In this framework, it is previsible unprecise information (with respect to an ontology) is retrieved from some resources. The sound integration of such information is crucial to achieve logical soundness. We present a data-driven approach to classify that knowledge by means of the cognitive entropy of the possible robust ontology extensions and data.
Supported by project TIN2004-03884 of Spanish Ministry of Education and Science, cofinanced by FEDER founds.
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Borrego-Díaz, J., Chávez-González, A.M. (2007). A Formal Foundation for Knowledge Integration of Defficent Information in the Semantic Web. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2007. EUROCAST 2007. Lecture Notes in Computer Science, vol 4739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75867-9_39
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DOI: https://doi.org/10.1007/978-3-540-75867-9_39
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